50 big-data-and-machine-learning-phd Postdoctoral positions at University of Maryland, Baltimore
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Post-Doctoral Position - Oncology & molecular biology & radiology imaging - (230000YQ) Exciting position for postdoctoral fellows in chemistry at the PhD level are currently available
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, protected Veteran status, age, or any other characteristic protected by law or policy. Qualifications Independent and highly motivated recent PhD or MD/PhD graduate with a strong background in immunology
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this research study by specially focusing on functional analysis of cancer-associated genes by using in vitro and in vivo models and developing cancer biomarkers. The candidates should have PhD or MD with strong
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characteristic protected by law or policy. Qualifications Potential candidates must be self-motivated, have an MD, DVM and/or PhD degree, and an interest in dedicating at least three years to this post-doctoral
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on longitudinal brain development (e.g., the ABCD study), substance use disorders and neuro-HIV/AIDS. Opportunities will be provided to learn about clinical research, behavioral assessments, cognitive
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. Maintain inventory and order supplies Attend meetings Other duties as assigned Qualifications PhD or MD required Two years of post-degree experience with research background in flow cytometry, analysis
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the central nervous system to maintain whole-body thermogenesis, energy balance, and metabolic health. Additional information on our research projects can be found in our publications, including Cell Metabolism
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to work independently is essential. Salary commensurate with experience. To apply for this position or to seek additional information, please contact Dr Marcela Pasetti by e-mail: mpasetti@som.umaryland.edu
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11, 2018 Post-Doctoral Position in Biomedical Data Mining Requisition ID: 180000MG Organization: School of Medicine - Clinical Departments Job Posting: Apr 24, 2018 The Department of Dermatology
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applicants considered for employment will be contacted. The University of Maryland is an equal opportunity employer committed to workforce diversity. Information about Dr. Wang’s lab can be found at the site